LooksRare presyoLOOKS

#BTC broke out in LTF, opened a small long with Invalidation at $81,660. Looks okay for now. #Crypto

The chart above presents an alternate view of the recent price action of $COIN. After hitting a top early 2023, the asset went through some major moves with price consolidating within an upward-sloping channel. A potential accumulation around this level looks then likely for a breakout. The most recent chart shows that price is attempting to test the lower bounds of this channel where an opportunity for another comeback may arise, contingent upon strong participation by the bulls in the near term. Thus says the chart about the price movements of $COIN since mid-2020 owing to a stirring flight on buying interest to $585.48, commencing downward correction in early 2021. A massive swing downwards saw the token enter a consolidation phase around the $150 level, trending upwards up to mid-2022. By second-half 2023, price attempted another high before enjoying a healthy correction, presently residing around $150 to $175. Of keen interest is the fact that since mid-2023, volume bars have steadily declined, indicating not much on strong selling pressure but also reluctance of buyers to drive the price up into higher territory without a catalyst. The chart also shows two prominent trendlines: a long-term support line drawn from the lows in 2022 and a resistance line that has capped price in 2023 and early 2024. Presently, the asset is sitting at the bottom of the channel, testing the area surrounding $145, an area that has been holding as support since mid-2023. If, on the other hand, price goes below that area, a further downtrend can be expected towards $125, which is a key support zone seen years before. A bounce off that lower trendline, however, would affirm the preceding upward trend as possible, especially with increasing buying volume in the coming weeks. Volume analysis suggests the market is in a standstill pattern. Volume flow has been declining over the past few months, implying indecision. Only a change in the market sentiment induced with substantial buying pressure would launch a rally. The price pattern and low volume render it highly vulnerable to fast moves in either direction. So investors should exercise caution and watch closely for signs of a volume spike that might indicate a change in market dynamics. DISCLAIMER: The information on this website is provided as general market commentary and does not constitute investment advice. We encourage you to do your own research before investing.

$MINT /USDT has caught the attention of many crypto enthusiasts lately. This token, known for its innovative approach and growing community, has shown interesting movement in recent days. While the price has seen its share of ups and downs, the overall sentiment in the market appears cautiously optimistic. Many experts suggest that if the current positive market trend continues, Mint could experience a bullish phase in the near future. This optimism comes from a combination of its solid technology and increasing adoption, which are key factors that drive investor confidence. Additionally, technical indicators from various reputable websites hint at a potential upward movement, provided there is stability in the broader crypto market. However, it is important to remember that cryptocurrency investments carry inherent risks. Price fluctuations can happen quickly, and unexpected market events might shift the momentum at any time. For anyone considering investing, it is always wise to stay informed by regularly checking market updates and trends. In simple words, while the future for $MINT /USDT looks promising, a careful and well-informed approach is necessary. Keeping a close eye on market developments will help you navigate the exciting yet unpredictable world of cryptocurrencies.

Billions are disappearing from Layer 2s… or are they? Layer 2 TVL has dropped to $30.07B, down 19% YoY, hitting its lowest point in the past year. Is this an actual liquidity outflow, or is TVL simply adjusting due to falling token prices? Top 5 L2s Hold 90%+ of TVL, But All Are Down 1️⃣ @arbitrum : $11.81B (-5.86%) 2️⃣ @base : $10.39B (-6.75%) 3️⃣ @Optimism : $3.85B (-10.5%) 4️⃣ @zksync : $650.57M (-15.3%) 5️⃣ @Starknet : $487.89M (-12.7%) Bridge Flows – Is Liquidity Leaving? Instead of just looking at TVL, bridge inflows vs. outflows tell us whether users are actually withdrawing: 🔴 Optimism ($846M in monthly bridge volume) → Deposits exceed withdrawals, meaning its TVL drop is mostly market-driven. 🟡 Mode ($12.83M in monthly bridge volume) → Deposits exceed withdrawals, showing net liquidity inflow. 💙 🧡 Arbitrum ($4.85B in monthly bridge volume) → Consistently net negative flows since January, withdrawals exceeding deposits. Arbitrum’s Outflows – A Cause for Concern? • January 2025: -$445M net outflow • February 2025: -$444M net outflow • March 2025 (so far): -$124M net outflow Arbitrum has seen consistent net outflows since December 2024, but are withdrawals excessively large relative to deposits? → Withdrawals are only ~6-10% larger than deposits—not insignificant, but not a collapse either. → Deposits remain high, meaning capital is still flowing into Arbitrum despite steady net outflows. → This looks more like capital rotation than a liquidity crisis. Token Dependency – Why TVL is declining A significant portion of L2 TVL is in non-stable assets, meaning its value fluctuates with the market. Here’s how much of each rollup’s TVL is NOT stablecoins: • Arbitrum: 51.74% (ARB + ETH + Others) • Optimism: 81.84% (OP + ETH + Others) • zkSync Era: 77.94% (ZK + ETH + Others) • Starknet: 87.32% (STRK + ETH + Others) • Base: 56.14% (ETH + Others) Since TVL is not just stablecoins, its decline is largely a result of token price depreciation rather than capital outflows. Key Takeaways • TVL decline ≠ mass liquidity exit. Most of the drop is due to token price depreciation, not heavy withdrawals. • Over half of TVL in major L2s is NOT in stablecoins, meaning price fluctuations have an outsized impact. • The top 5 rollups hold over 90% of TVL, making their movements critical for overall trends. • Arbitrum is seeing sustained outflows since January, but not at crisis levels. What’s Next? • If withdrawals accelerate, L2s may need stronger incentives to retain liquidity. • If deposits recover, it confirms capital rotation rather than an ecosystem-wide exit. For now, this is more about market sentiment than an L2 liquidity crisis.

The healthcare industry is undergoing a significant transformation, driven by advances in artificial intelligence and genomics. Personalized medicine is becoming increasingly popular, with many healthcare providers and researchers using AI and genomics to tailor treatments to individual patients. In this article, we'll explore the impact of AI and genomics on personalized medicine, their benefits and challenges, and the future of healthcare. # Artificial Intelligence in Healthcare: Current State Artificial intelligence is already being used in various ways in healthcare, including: 1. _Predictive Analytics_: AI is being used to analyze large datasets and predict patient outcomes, enabling healthcare providers to make more informed decisions. 2. _Personalized Treatment Plans_: AI is being used to create personalized treatment plans, taking into account individual patients' genetic profiles, medical histories, and lifestyle factors. 3. _Disease Diagnosis_: AI is being used to diagnose diseases more accurately and quickly, enabling healthcare providers to initiate treatment earlier. # Genomics in Healthcare: Current State Genomics is also being used in various ways in healthcare, including: 1. _Genetic Testing_: Genomic testing is being used to identify genetic mutations and variants associated with specific diseases, enabling healthcare providers to tailor treatments to individual patients. 2. _Precision Medicine_: Genomics is being used to develop precision medicine approaches, taking into account individual patients' genetic profiles and medical histories. 3. _Pharmacogenomics_: Genomics is being used to develop pharmacogenomic approaches, tailoring medication regimens to individual patients' genetic profiles. # Benefits of AI and Genomics in Healthcare The benefits of AI and genomics in healthcare are numerous: 1. _Improved Patient Outcomes_: AI and genomics can improve patient outcomes by enabling healthcare providers to make more informed decisions and tailor treatments to individual patients. 2. _Increased Efficiency_: AI and genomics can increase efficiency in healthcare by automating routine tasks and enabling healthcare providers to focus on more complex cases. 3. _Reduced Costs_: AI and genomics can reduce costs in healthcare by minimizing unnecessary tests and procedures and enabling healthcare providers to initiate treatment earlier. 4. _Enhanced Patient Experience_: AI and genomics can enhance the patient experience by enabling healthcare providers to provide more personalized and compassionate care. # Challenges of AI and Genomics in Healthcare While AI and genomics offer many benefits, there are also challenges to consider: 1. _Data Quality and Integration_: AI and genomics require high-quality and integrated data, which can be challenging to obtain and manage. 2. _Regulatory Frameworks_: AI and genomics require clear regulatory frameworks, which are still evolving and can be challenging to navigate. 3. _Cybersecurity Risks_: AI and genomics require robust cybersecurity measures, which can be challenging to implement and maintain. 4. _Public Awareness and Education_: AI and genomics require public awareness and education, which can be challenging to promote and sustain. # Future of AI and Genomics in Healthcare The future of AI and genomics in healthcare looks promising, with several trends and predictions emerging: 1. _Increased Adoption_: AI and genomics will become increasingly adopted, driving growth and innovation in healthcare. 2. _Advances in Technology_: Advances in technology will enable AI and genomics to become more efficient, effective, and affordable. 3. _Development of New Applications_: New applications will be developed, enabling AI and genomics to be used in new and innovative ways. 4. _Integration with Emerging Technologies_: AI and genomics will be integrated with emerging technologies, such as blockchain and the Internet of Things, to create more efficient and effective healthcare systems. # Conclusion AI and genomics are revolutionizing healthcare, offering numerous benefits and opportunities for growth and innovation. While challenges remain, the potential of AI and genomics is vast, and their future looks bright. # Recommendations 1. _Invest in AI and Genomics Research and Development_: Invest in research and development to improve the efficiency, effectiveness, and affordability of AI and genomics in healthcare. 2. _Develop Clear Regulatory Frameworks_: Develop clear regulatory frameworks to ensure safety and compliance. 3. _Promote Public Awareness and Education_: Promote public awareness and education to increase adoption and sustainment. 4. _Encourage Collaboration and Partnerships_: Encourage collaboration and partnerships between healthcare providers, researchers, and industry stakeholders to drive innovation and improvement.